Triple
T5860309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yavuz Selim Mosque |
E130258
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Balat |
E172928
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Balat | Statement: [Yavuz Selim Mosque, overlooks, Balat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balat Context triple: [Yavuz Selim Mosque, overlooks, Balat]
-
A.
Balat
chosen
Balat is a historic neighborhood in Istanbul, Turkey, known for its colorful houses, steep cobbled streets, and rich Jewish and multicultural heritage.
-
B.
Balat
Balat is a modern village in western Turkey located near the ruins of the ancient Greek city of Miletus.
-
C.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
D.
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
-
E.
Arnavutköy
Arnavutköy is a district on the European side of Istanbul, Turkey, known for its rapidly developing urban areas and hosting the city’s main international airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03588dd8c81909491350140ea340e |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c70754819089081fc440ed841e |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.